With the existence of several thousand unique human allergens, a multiplex format, such as protein microarrays, is an attractive option for allergy screening. To determine the feasibility and sensitivity of using an enzyme-based, colorimetric protein microarray assay, three common allergens (mold, dust-mite, grass) were arrayed and added sera assayed for responsive human IgE. Normal, low positive, and negative control samples were assayed to determine optimal reaction parameters. Sensitivity of the assay (in international units, IU) was determined by constructing a standard curve using World Health Organization (WHO) standards. The system described here can reliably detect allergen-specific IgE below 0.35 IU, the current WHO standard cutoff. By taking advantage of the sensitivity of enzyme-linked immunosorbent assays (ELISAs) and the multiplex format of microarrays, we have achieved a high throughput system, capable of screening patients for allergen-susceptibility with optimal sensitivity.
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http://dx.doi.org/10.1016/j.jim.2005.01.019 | DOI Listing |
Trends Biotechnol
January 2025
Department of Food Safety/Hygiene and Risk Management, National Cheng Kung University, Tainan, Taiwan; Institute of Basic Medical Sciences, National Cheng Kung University, Tainan, Taiwan. Electronic address:
Bacterial proteome microarrays are high-throughput, adaptable tools that allow the simultaneous investigation of thousands of proteins from various bacterial species. These arrays are used to explore bacterial pathogenicity, pathogen-host interactions, and clinical diseases. Recent advancements have expanded their application to profiling human antibodies, identifying biomarkers for infectious and autoimmune diseases, and studying antimicrobial peptides (AMPs).
View Article and Find Full Text PDFGene
January 2025
Chongqing Blood Center, Chongqing city, 400015, China. Electronic address:
Colon cancer is a leading cause of cancer-related deaths worldwide and has been increasingly linked to the gut microbiome. Clostridium butyricum (CB), a probiotic, has demonstrated potential in influencing colon cancer cell behavior, particularly through the modulation of long non-coding RNAs (lncRNAs) and mRNAs. This study examines the effects of CB on the expression of lncRNAs and mRNAs in SW480 colon cancer cells and their association with apoptosis.
View Article and Find Full Text PDFCancer Genet
December 2024
Department of Otolaryngology, University of Minnesota, MMC396, 420 Delaware St SE, Minneapolis, MN 55455, USA.
Objective: Studies of squamous cell carcinoma of the head and neck (HNSCC) have demonstrated the importance of nuclear receptors and their associated coregulators in the development and treatment of HNSCC. We sought to characterize members of the nuclear receptor super family through interrogation of RNA-Seq and microarray data.
Materials And Methods: TCGA RNA-Seq data within the cBioportal platform comparing HNSCC samples (n = 515 patients with RNA-Seq data) to normal tissue (n = 82 patients) was interrogated for significant differences in nuclear receptor expression.
Metab Brain Dis
January 2025
Department of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania, Italy.
SERPINA3, a serine protease inhibitor, is strongly associated with neuroinflammation, a typical condition of AD. Its expression is linked to microglial and astrocytic markers, suggesting it plays a significant role in modulating neuroinflammatory responses. In this study, we examined the SERPINA3 expression levels, along with CHI3L1, in various brain regions of AD patients and non-demented healthy controls (NDHC).
View Article and Find Full Text PDFCell Commun Signal
January 2025
Centre of Postgraduate Medical Education, Centre of Translation Research, Department of Biochemistry and Molecular Biology, ul. Marymoncka 99/103, Warsaw, 01-813, Poland.
Background: Renal cell cancer (RCC) is the most common and highly malignant subtype of kidney cancer. Mesenchymal stromal cells (MSCs) are components of tumor microenvironment (TME) that influence RCC progression. The impact of RCC-secreted small non-coding RNAs (sncRNAs) on TME is largely underexplored.
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